This study aimed to identify contents and trends of Korean nursing doctoral dissertations in terms of research methodology and theoretical characteristics.

The design of the study was descriptive study and a total of 1,089 quantitative studies completed between 1982 and 2010 were reviewed using the analytical framework developed by the researchers.

The majority of studies utilized the experimental design (51.5%) and the others were survey design (38.8%) and methodological design (5.0%). Study subjects were shown as patients (45%), care givers (11.2%), ordinary persons (40.6%) and others (3.2%). There were growing trends in experimental design and patients as subjects. The prevailing data collection settings were hospitals (45.8%) and community (27.8%). The theoretical frameworks that studies were based on were the existing theories (37%) and a newly developed theoretical framework by a researcher (25.2%). a framework derived from other studies by the researcher (25.2%). Majority of studies (78.5%) employed a single theory as a theoretical framework. However, 31.8% of studies had no theoretical framework based on.

Findings of this study provided the opportunities to shed new light on the current status of Korean doctoral dissertation and to deliberate on the future direction of nursing studies in Korea.

Mortality Provability Model (MPM) II is a model for predicting mortality probability of patients admitted to ICU. This study was done to test the validity of MPM II for critically ill neurological patients and to determine applicability of MPM II in predicting mortality of neurological ICU patients.

Data were collected from medical records of 187 neurological patients over 18 yr of age who were admitted to the ICU of C University Hospital during the period from January 2008 to May 2009. Collected data were analyzed through χ² test, t-test, Mann-Whiteny test, goodness of fit test, and ROC curve.

As to mortality according to patients' general and clinically related characteristics, mortality was statistically significantly different for ICU stay, hospital stay, APACHE III score, APACHE predicted death rate, GCS, endotracheal intubation, and central venous catheter. Results of Hosmer-Lemeshow goodness-of-fit test were MPM II₀ (χ²=0.02, p=.989), MPM II₂₄ (χ²=0.99 p=.805), MPM II₄₈ (χ²=0.91, p=.822), and MPM II₇₂ (χ²=1.57, p=.457), and results of the discrimination test using the ROC curve were MPM II₀, .726 (p<.001), MPM II₂₄, .764 (p<.001), MPM II₄₈, .762 (p<.001), and MPM II₇₂, .809 (p<.001).

MPM II was found to be a valid mortality prediction model for neurological ICU patients.

The purpose of this study was to identify cancer-related symptom clusters and to validate the conceptual meanings of the revealed symptom clusters in patients with hepatocellular carcinoma.

This study was a cross-sectional survey and methodological study. Patients with hepatocellular carcinoma (N=194) were recruited from a medical center in Seoul. The 20-item Symptom Checklist was used to assess patients' symptom severity. Selected symptoms were factored using principal-axis factoring with varimax rotation. To validate the revealed symptom clusters, the statistical differences were analyzed by status of patients' performance status, Child-Pugh classification, and mood state among symptom clusters.

Fatigue was the most prevalent symptom (97.4%), followed by lack of energy and stomach discomfort. Patients' symptom severity ratings fit a four-factor solution that explained 61.04% of the variance. These four factors were named pain-appetite cluster, fatigue cluster, itching-constipation cluster, and gastrointestinal cluster. The revealed symptom clusters were significantly different for patient performance status (ECOG-PSR), Child-Pugh class, anxiety, and depression.

Knowing these symptom clusters may help nurses to understand reasonable mechanisms for the aggregation of symptoms. Efficient symptom management of disease-related and treatment-related symptoms is critical in promoting physical and emotional status in patients with hepatocellular carcinoma.